Fetal ECG signal enhancement using polynomial classifiers and wavelet denoising

M. Ahmadi; M. Ayat; K. Assaleh; H. Al-Nashash

doi:10.1109/CIBEC.2008.4786095

Fetal ECG signal enhancement using polynomial classifiers and wavelet denoising

M. Ahmadi
, M. Ayat
, K. Assaleh
, H. Al-Nashash

American University of Sharjah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 Scopus citations

Abstract

This paper addresses the enhancements achievable by the application of wavelet transform to fetal ECG (FECG) signals extracted by polynomial networks. The Polynomial Networks technique has been exploited to isolate fetal electrocardiogram (FECG) from the undesired mapped maternal electrocardiogram (mapped MECG). In this paper wavelet transform is used to enhance the extracted FECG. Processing of both real and synthetic ECG data are examined with proposed pre and post wavelet denoising algorithms. Results show improved extraction performance and successful removal of baseline wandering. Numerical results of signal-tonoise ratio for synthetic data attest considerable enhancement. The characteristics of the FECG signal were shown to be preserved and a relatively clean FECG signal is obtained.

Original language	English
Title of host publication	2008 Cairo International Biomedical Engineering Conference, CIBEC 2008
DOIs	https://doi.org/10.1109/CIBEC.2008.4786095
State	Published - 2008
Externally published	Yes
Event	2008 Cairo International Biomedical Engineering Conference, CIBEC 2008 - Cairo, Egypt Duration: 18 Dec 2008 → 20 Dec 2008

Publication series

Name	2008 Cairo International Biomedical Engineering Conference, CIBEC 2008

Conference

Conference	2008 Cairo International Biomedical Engineering Conference, CIBEC 2008
Country/Territory	Egypt
City	Cairo
Period	18/12/08 → 20/12/08

Keywords

Fetal ECG signal
Polynomial networks
Wavelet denoising

Access to Document

10.1109/CIBEC.2008.4786095

Cite this

@inproceedings{964f407cdc4040109ffdb3179ce4c82f,

title = "Fetal ECG signal enhancement using polynomial classifiers and wavelet denoising",

abstract = "This paper addresses the enhancements achievable by the application of wavelet transform to fetal ECG (FECG) signals extracted by polynomial networks. The Polynomial Networks technique has been exploited to isolate fetal electrocardiogram (FECG) from the undesired mapped maternal electrocardiogram (mapped MECG). In this paper wavelet transform is used to enhance the extracted FECG. Processing of both real and synthetic ECG data are examined with proposed pre and post wavelet denoising algorithms. Results show improved extraction performance and successful removal of baseline wandering. Numerical results of signal-tonoise ratio for synthetic data attest considerable enhancement. The characteristics of the FECG signal were shown to be preserved and a relatively clean FECG signal is obtained.",

keywords = "Fetal ECG signal, Polynomial networks, Wavelet denoising",

author = "M. Ahmadi and M. Ayat and K. Assaleh and H. Al-Nashash",

year = "2008",

doi = "10.1109/CIBEC.2008.4786095",

language = "English",

isbn = "9781424426959",

series = "2008 Cairo International Biomedical Engineering Conference, CIBEC 2008",

booktitle = "2008 Cairo International Biomedical Engineering Conference, CIBEC 2008",

note = "2008 Cairo International Biomedical Engineering Conference, CIBEC 2008 ; Conference date: 18-12-2008 Through 20-12-2008",

}

Ahmadi, M, Ayat, M, Assaleh, K & Al-Nashash, H 2008, Fetal ECG signal enhancement using polynomial classifiers and wavelet denoising. in 2008 Cairo International Biomedical Engineering Conference, CIBEC 2008., 4786095, 2008 Cairo International Biomedical Engineering Conference, CIBEC 2008, 2008 Cairo International Biomedical Engineering Conference, CIBEC 2008, Cairo, Egypt, 18/12/08. https://doi.org/10.1109/CIBEC.2008.4786095

Fetal ECG signal enhancement using polynomial classifiers and wavelet denoising. / Ahmadi, M.; Ayat, M.; Assaleh, K. et al.
2008 Cairo International Biomedical Engineering Conference, CIBEC 2008. 2008. 4786095 (2008 Cairo International Biomedical Engineering Conference, CIBEC 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Fetal ECG signal enhancement using polynomial classifiers and wavelet denoising

AU - Ahmadi, M.

AU - Ayat, M.

AU - Assaleh, K.

AU - Al-Nashash, H.

PY - 2008

Y1 - 2008

N2 - This paper addresses the enhancements achievable by the application of wavelet transform to fetal ECG (FECG) signals extracted by polynomial networks. The Polynomial Networks technique has been exploited to isolate fetal electrocardiogram (FECG) from the undesired mapped maternal electrocardiogram (mapped MECG). In this paper wavelet transform is used to enhance the extracted FECG. Processing of both real and synthetic ECG data are examined with proposed pre and post wavelet denoising algorithms. Results show improved extraction performance and successful removal of baseline wandering. Numerical results of signal-tonoise ratio for synthetic data attest considerable enhancement. The characteristics of the FECG signal were shown to be preserved and a relatively clean FECG signal is obtained.

AB - This paper addresses the enhancements achievable by the application of wavelet transform to fetal ECG (FECG) signals extracted by polynomial networks. The Polynomial Networks technique has been exploited to isolate fetal electrocardiogram (FECG) from the undesired mapped maternal electrocardiogram (mapped MECG). In this paper wavelet transform is used to enhance the extracted FECG. Processing of both real and synthetic ECG data are examined with proposed pre and post wavelet denoising algorithms. Results show improved extraction performance and successful removal of baseline wandering. Numerical results of signal-tonoise ratio for synthetic data attest considerable enhancement. The characteristics of the FECG signal were shown to be preserved and a relatively clean FECG signal is obtained.

KW - Fetal ECG signal

KW - Polynomial networks

KW - Wavelet denoising

UR - https://www.scopus.com/pages/publications/63649136676

U2 - 10.1109/CIBEC.2008.4786095

DO - 10.1109/CIBEC.2008.4786095

M3 - Conference contribution

AN - SCOPUS:63649136676

SN - 9781424426959

T3 - 2008 Cairo International Biomedical Engineering Conference, CIBEC 2008

BT - 2008 Cairo International Biomedical Engineering Conference, CIBEC 2008

T2 - 2008 Cairo International Biomedical Engineering Conference, CIBEC 2008

Y2 - 18 December 2008 through 20 December 2008

ER -

Fetal ECG signal enhancement using polynomial classifiers and wavelet denoising

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this